Intelligent feature based process planning for five-axis mill-turn parts

Waiyagan, Kriangkrai; Bohez, Erik L. J.

doi:10.1016/j.compind.2008.09.009

Cited by 47 publications

(14 citation statements)

References 18 publications

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“…Shunmugam, Mahesh, and Bhaskara Reddy (2002) used GA to generate various feasible sequences using feature precedence relation based on the precedence and geometric tolerance constraints. Waiyagan and Bohez (2009) developed an intelligent process planning system for five axis mill turn parts. Combination of variant and generative approach have been incorporated to develop the process plan for prismatic and rotational parts.…”

Section: Introductionmentioning

confidence: 99%

Feature-based modelling and process parameters selection in a CAPP system for prismatic micro parts

Kumar

Jerald

Kumanan

2014

International Journal of Computer Integrated Manufacturing

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The present work deals with feature-based modelling (FBM) and process parameters selection in a computer-aided process planning (CAPP) system for prismatic micro parts. The proposed system maps the Extensible Markup Language (XML) data from the feature-based model and produces the corresponding process parameters required for micro part manufacturing. It has two components: (1) invention of FBM and automatic extraction of manufacturing feature information and (2) selection of process parameters for the given micro features using knowledge-based system (KBS) approach. An attempt has been made to develop process parameters based on experimental investigation and optimisation using genetic algorithm (GA) apart from the information from literatures and user manuals used for database development. FBM and data extraction through XML files avoid complex feature extraction and recognition processes. The application of the proposed system was verified with the case study. The present system is intended for miniature part with micro drill and mill features. Incorporation of more micro features and consideration of various other process planning activities ensures a complete CAPP system for prismatic micro parts.

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Section: Introductionmentioning

confidence: 99%

Feature-based modelling and process parameters selection in a CAPP system for prismatic micro parts

Kumar

Jerald

Kumanan

2014

International Journal of Computer Integrated Manufacturing

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“…For instance, Waiyagan and Bohez built up a STEP-based process planning knowledge-based system, which can be integrated with CAD tools [16]. Zha and Du (2002) proposed a PDES/STEP-based modelling approach for concurrent design and assembly planning.…”

Section: Step-based Product Datamentioning

confidence: 99%

Step-Based Data Sharing and Exchange in One-of-a-Kind Product Collaborative Design for Cloud Manufacturing

Xie

Sang

2013

Advances in Mechanical Engineering

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With the trend for global collaboration, there is a need for collaborative design between geographically distributed teams and companies. In particular, this need is inevitable in the companies doing their business based on one-of-a-kind production (OKP). One important problem is the lack of interoperability and compatibility of data between different CAx systems. This problem is further highlighted in data exchange in cloud manufacturing. To the best of authors' knowledge, current studies have limitations in achieving the interoperability and compatibility of data. In this paper, a STEP-based data model is proposed to represent OKP product data/knowledge, which contains four categories of product knowledge (i.e., customer, product, manufacturing, and resource resp.). A STEP-based data modelling approach is proposed to describe each category of knowledge separately and then connect them to form the final integrated model. Compared with most current product models, this model includes the more complete product data/knowledge involved in OKP product development (OKPPD), and thus it can provide more adequate knowledge support for OKPPD activities. Based on the proposed STEP-based data model, a product data exchange and sharing (DES) framework is proposed and developed to enable DES in collaborative OKPPD in the cloud manufacturing environment. Case studies were carried out to validate the proposed data model and DES framework.

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“…Components with prismatic and rotational features are defined as prisronal parts in [18]. The main tendency in the design of large-size machine tools is to ensure possibility of machining axial-symmetric parts on CNC milling centres and prismatic parts on CNC lathe with a controlled rotation of a rotary table for obtaining required geometry and tight tolerances [5,13].…”

Section: Process Requirements Versus Machine Capability Of Large-sizementioning

confidence: 99%

Comparative Study of Machining Technology Selection to Manufacture Large-Size Components of Offshore Constructions

Deja

Siemiątkowski

Sender³

2017

Polish Maritime Research

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The focus of this paper is on process planning for large parts manufacture in systems of definite process capabilities, involving the use of multi-axis machining centres. The analysis of machining heavy mechanical components used in off-shore constructions has been carried out. Setup concepts applied and operation sequences determined in related process plans underwent studies. The paper presents in particular a reasoning approach to setup sequencing and machine assignment in manufacturing large-size components of offshore constructions. The relevant reasoning mechanismwithin a decision making scheme on generated process plan is shown based on a case study derived from the offshore sector. Recommendations for manufacture of selected exemplary and typical parts were formulated.

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Intelligent feature based process planning for five-axis mill-turn parts

Cited by 47 publications

References 18 publications

Feature-based modelling and process parameters selection in a CAPP system for prismatic micro parts

Feature-based modelling and process parameters selection in a CAPP system for prismatic micro parts

Step-Based Data Sharing and Exchange in One-of-a-Kind Product Collaborative Design for Cloud Manufacturing

Comparative Study of Machining Technology Selection to Manufacture Large-Size Components of Offshore Constructions

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